code: def test_matching_conv2_conductance(self) -> None:
      net = BasicModel_ConvNet()
      inp = 100 * torch.randn(1, 1, 10, 10, requires_grad=True)
      self._conductance_reference_test_assert(net, net.conv2, inp)
  
imports: import unittest
  from typing import Any, cast, List, Tuple, Union
  import torch
  from captum._utils.typing import BaselineType
  from captum.attr._core.layer.layer_conductance import LayerConductance
  from tests.attr.helpers.conductance_reference import ConductanceReference
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicModel_ConvNet, BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput
  from torch import Tensor
  from torch.nn import Module
label_desc: Use image node_id 12 for calling the Test obj's underlying member method code with example usage: obj.test_matching_conv2_conductance() without return types